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Janine Kiers Product Manager DelftX MOOCs Based on conference submission with Danika Marquis and Leonie Meijerink Evaluating Teaching and Learning

Evaluating teaching and learning in MOOCs

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Page 1: Evaluating teaching and learning in MOOCs

Janine KiersProduct Manager DelftX MOOCsBased on conference submission with Danika Marquis and Leonie Meijerink

Evaluating Teaching and Learning

Page 2: Evaluating teaching and learning in MOOCs
Page 3: Evaluating teaching and learning in MOOCs

What is a successful MOOC?

• Different perspectives• Branding• Innovation • Research• Educational

CC 0 Public domain Pixabay

Page 4: Evaluating teaching and learning in MOOCs

Quality Assurance cycle

Design

Develop

Run

Evaluate

Page 5: Evaluating teaching and learning in MOOCs

Evaluating Teaching & Learning

• Quality AssuranceIntention:

• ToolsImplementation:

• Share & interpret resultsExperience:

• SuggestionsImprove:

Page 6: Evaluating teaching and learning in MOOCs

Tools: how to evaluate Teaching and Learning in a MOOC?

• Passing rate• Student satisfaction• Design

CC 0 Public domain Pixabay

Page 7: Evaluating teaching and learning in MOOCs

Implementation of evaluationTool: Online Learning Experience

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Online Learning Experience

• Flexible (in time, space & content) • Diverse (activities, resources & assessment)• Inclusive (accessible, cultural & gender)• Supportive (guidance & feedback)• Interactive (learner – learner/teacher/content)• Active (learning by doing)• Contextual (real world situations & problems)• Innovative (new tools, strategies & insights)

Page 9: Evaluating teaching and learning in MOOCs

Implementation of evaluationTools to gather & process data

Sources of data Used in

Student surveys Course report

Forum analysis Course report

Stakeholder interviews Discussion

Platform data Course report

Page 10: Evaluating teaching and learning in MOOCs

• Collaborative Analysis - eLD & Course Team• Discussion of results• Implement in rerun

Implementation of evaluationTeaching and Learning report

CC BY 2.0 IvanWalsh.com

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Evaluation: platform data

• Data analysed (completers, respondents)• Participants’ feedback

• in Likert scale• written feedback

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Student expectations

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Workload: expected and actual

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Describe the course in one word

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Evaluation: Student activity

Weekly numbers of active students (blue line), students who watched a video (green line) and students who tried an assignment (orange line).

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Evaluation: Replay video

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Evaluation: Student performance

• Review questions e.g. < 50%

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ExperienceChallenges in interpretation

• No student-teacher personal contact• Survey results are biased

- low response rates & bias for completers

• Heterogeneity of learners• Eliminate content specific results

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Learning points from experience

• Standardization of implementation• Standardization of interpretation of OLE • Dedicate time for evaluation

• by Course Team• by support team / eLD

Page 20: Evaluating teaching and learning in MOOCs

Effect of course evaluation

• Improve evaluated course• Create knowledge base (generalized)• Reflect on support process• Professional development

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Thank you

Questions?